John Loya explores how rapid AI adoption and shadow AI increase data risk, why sensitive corporate data is flowing into unsanctioned tools, and how visibility, risk scoring, and enforcement help organizations secure data without stifling innovation.
As generative artificial intelligence adoption accelerates across enterprises, organizations face growing challenges in understanding how employees use AI tools and what data is being exposed in the process. Much of this activity happens through unsanctioned "shadow AI," where sensitive corporate data, intellectual property and regulated information are shared without clear oversight or controls. Traditional security approaches struggle to keep pace with the speed and scale of AI-driven data movement.
In this session, John Loya, vice president of sales engineering at Cyberhaven, explores real-world AI usage trends drawn from millions of endpoints and highlights why visibility is the foundation of effective risk management.
The session will also cover:
- Which roles and industries are driving AI adoption;
- What types of sensitive data are most at risk;
- Why policy alone is insufficient without enforcement.
Here is the course outline:
Securing Data in the Generative AI Era |
Completion
The following certificates are awarded when the course is completed:
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CPE Credit Certificate |
